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Field
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will be responsible for the follow : (full details of duties available from the Job Description) Research Collaboration and engagement You will have completed a PhD in machine learning, computer science
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teamwork and communication skills Demonstrated potential for original or collaborative scholarship Ability to acquire accurate, reproducible data Critical eye towards consistency, reproducibility, and the
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and sustainability; Investigate and apply artificial intelligence and machine learning techniques, including large language models (LLMs), across CENSE’s scientific body in its five thematic areas
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Engineering, Bioinformatics, Statistics, Applied Mathematics, Physics, or a closely related STEM field. Demonstrated experience developing AI and machine learning models for biomedical applications. Job
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Offer Description MSCA Doctoral Network EMANAIRE, DC10: AI-Mediated Communication and Collaboration Norms at Work Position details Recruiting institution: Hanken School of Economics, Department
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for bio-inspired aerial platforms. The work forms part of an ARIA-funded collaboration between Heriot-Watt University and the University of Edinburgh, bringing together expertise in microdevices, electronic
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students to analysing multimodal learning data (e.g., individual as well as collaborative verbal interactions, student gestures, task and activity sequences) and evaluating long-term learning outcomes. As
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on AI-assisted reverse engineering of integrated circuits for hardware assurance and intelligence analysis. The project is conducted within the Deep Learning for Perception and Data Science, Safety and
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learn new things - A strong programmer who’s comfortable with Python - An open-minded thinker and precise communicator who enjoys collaborating with colleagues from a wide range of backgrounds and areas
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collaborative research projects, including but not limited to: • Developing and applying bioinformatics, pharmacogenomics, AI, machine learning, and deep learning methods • Analyzing and integrating large-scale